Introduction to Special Section
Introduction to Special Section
In “Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation,” John Abowd, Matthew Schneider, and Lars Vilhuber investigate questions about the quality of differentially private statistical models. Using two frameworks for constructing differentially private algorithms (sample-and-aggregate and objective perturbation), they fit linear mixed models and Bayesian linear mixed models …